Data Engineer

2 hours ago

Chandigarh India, India DataCouch Full time

Job Title: Data, AI & Data Engineering Instructor

Location: Mohali

Experience Required: 2–3 years

Employment Type: Full-Time


About the Role

We are seeking a highly skilled Data, AI, and Data Engineering Instructor who can train working professionals and collaborate directly with clients to understand their business requirements and deliver customized data-driven solutions. The ideal candidate will have strong hands-on expertise in data science, AI, and data engineering, along with the ability to communicate effectively with corporate teams and adapt content for professional learners.


Key Responsibilities

  • Deliver impactful training sessions for corporate professionals on Data Science, Machine Learning, Artificial Intelligence, and Data Engineering topics.
  • Work closely with clients to identify business needs, design relevant technical learning programs, and support solution implementation.
  • Lead corporate training programs, workshops, and consulting sessions tailored for professionals in the data and AI domain.
  • Take ownership of client engagements, including requirement gathering, project understanding, and technical delivery.
  • Develop and update curriculum content, case studies, and hands-on projects that align with real-world business scenarios.
  • Mentor professionals on applying data-driven strategies to solve organizational challenges.
  • Support clients in implementing and optimizing data pipelines, AI models, and analytics workflows.
  • Stay current with emerging technologies in AI, Big Data, Cloud, and Data Engineering to ensure up-to-date training and consulting practices.



Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 2–3 years of experience in Data Science, Data Engineering, or AI consulting/training roles.
  • Proven experience in corporate training or client-facing roles.
  • Strong proficiency in:
  • Programming: Python, SQL
  • Data Science Libraries: NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch
  • Data Engineering Tools: Apache Spark, Airflow, Kafka, or similar frameworks
  • Databases: MySQL, PostgreSQL, MongoDB, or equivalent data stores
  • Cloud Platforms: AWS, Azure, or Google Cloud (S3, BigQuery, Redshift, Dataflow)
  • Visualization Tools: Power BI, Tableau, Matplotlib, Seaborn
  • Deep understanding of ETL/ELT pipelines, data warehousing, and machine learning model deployment.
  • Excellent communication and presentation skills for professional and executive-level audiences.
  • Ability to manage multiple client engagements and deliver training outcomes on time.


Preferred Qualifications

  • Experience in corporate training, consulting, or professional development programs.
  • Exposure to MLOps, AI model deployment, and CI/CD for ML pipelines.
  • Knowledge of data governance, data quality, and compliance frameworks.
  • Professional certifications such as AWS Data Engineer, Azure Data Scientist, or Google Cloud AI Engineer.


What We Offer

  • Competitive compensation with performance-based incentives.
  • Opportunities for professional growth and certification sponsorship.
  • Work with leading corporate clients and professional learners across industries.
  • Collaborative and innovative environment that values practical application and impact-driven learning.

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